| Study: AI leads people to work more, not less Though many workers worry that AI is going to take their jobs, evidence suggests that it’s actually giving AI adopters more work, not less. In an eight-month study of approximately 200 workers at a US-based tech company, Harvard University researchers discovered that AI tools consistently intensified work, rather than reducing the load. The researchers found that AI tools allowed workers to complete tasks faster, enabling them to take on a broader scope of tasks, thereby extending their work hours.Though the company being studied offered enterprise subscriptions to AI tools for their employees, the researchers noted that these employees were not mandated to use AI. Rather, the workers did so of their own accord. The problem, however, is that once the excitement over these shiny new AI tools wore off, workers found that their workload had increased without them noticing. The researchers identified three main ways that these workloads intensified: AI made tasks that were once out of reach feel achievable to new audiences. For example, coding and engineering tasks are now within reach for non-technical employees. Reduced friction in starting and completing tasks also blurred the boundaries between work and non-work. Finally, these tools allowed for easier multitasking, with the tech being seen as a “partner” that could handle more tasks in the background. The consequence of that, however, was also an increased taskload. Harvard’s study joins a litany of conflicting research detailing how AI will impact the way we work. While some say that AI can already automate thousands of hours of work and make certain jobs obsolete, others argue that AI will create new jobs entirely. This study lands somewhere in the middle: Creating new work in the jobs that we already have, while quietly piling on more right under our noses. ![]() Since this study is focused on an American company, it may demonstrate a symptom of US work culture more than the impact of AI alone. However, it highlights the downside of unlocking more productivity: When AI enables people to do more, people often feel as though they have to do more, too. This comes as AI-powered displacement is also creating a constant undercurrent of anxiety among workers. Though all new tech comes with a learning curve, AI’s learning curve could involve learning to do less. |
-
Archives
- February 2026
- January 2026
- December 2025
- November 2025
- October 2025
- September 2025
- August 2025
- July 2025
- June 2025
- May 2025
- April 2025
- March 2025
- February 2025
- January 2025
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- February 2021
- January 2021
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- October 2019
- September 2019
- August 2019
- July 2019
- June 2019
- May 2019
- April 2019
- March 2019
- February 2019
- January 2019
- December 2018
- November 2018
- October 2018
- September 2018
- July 2018
- June 2018
- May 2018
- April 2018
- March 2018
- February 2018
- January 2018
- December 2017
- November 2017
- October 2017
- September 2017
- August 2017
- July 2017
- June 2017
- May 2017
- April 2017
- March 2017
- February 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- December 2015
- November 2015
- October 2015
- September 2015
- August 2015
- July 2015
- June 2015
- May 2015
- March 2015
- January 2015
-
Meta
